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Fakultät für Informatik

Publications of M.Sc Mikail Yayla


  • Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods.
    Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen
    EuroMLSys'23 (accepted for publication)
  • HW/SW Codesign for Approximation-Aware Binary Neural Networks.
    Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS)
  • Robust and Efficient Machine Learning for Emerging Resource-Constrained Embedded Systems (abstract, poster)
    Mikail Yayla
    , Hussam Amrouch, Jian-Jia Chen
    Poster Presentation for PhD Forum (DATE'23 and VTS'23)
  • Global by Local Thresholding in Binarized Neural Networks for Efficient Crossbar Accelerator Design.
    Mikail Yayla
    , Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch
    (under review)
  • HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogenerous Multiprocesser Platforms.
    Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla, Jian-Jia Chen
    AccML@HiPEAC'23: 5th Workshop on Accelerated Machine Learning






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